{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T02:53:59Z","timestamp":1761015239708,"version":"3.37.3"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971235"],"award-info":[{"award-number":["61971235"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2018M630590"],"award-info":[{"award-number":["2018M630590"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010242","name":"Jiangsu Planned Projects for Postdoctoral Research Funds","doi-asserted-by":"publisher","award":["2021K501C"],"award-info":[{"award-number":["2021K501C"]}],"id":[{"id":"10.13039\/501100010242","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,4]]},"DOI":"10.1109\/globecom48099.2022.10001075","type":"proceedings-article","created":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T22:24:18Z","timestamp":1673475858000},"page":"5451-5456","source":"Crossref","is-referenced-by-count":3,"title":["Double Perturbation-Based Privacy-Preserving Federated Learning against Inference Attack"],"prefix":"10.1109","author":[{"given":"Yongqi","family":"Jiang","sequence":"first","affiliation":[{"name":"School of Internet of Things, Nanjing University of Posts and Telecommunications,Nanjing,China"}]},{"given":"Yanhang","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Internet of Things, Nanjing University of Posts and Telecommunications,Nanjing,China"}]},{"given":"Siguang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Internet of Things, Nanjing University of Posts and Telecommunications,Nanjing,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.10.007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2021.102402"},{"key":"ref3","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf Artif. Intell. Stat. (AISTATS)","author":"McMahan","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00065"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICHI52183.2021.00078"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813677"},{"key":"ref7","article-title":"Towards general deep leakage in federated learning","author":"Geng","year":"2021","journal-title":"arXiv preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2663337"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00044"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.12"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MASS52906.2021.00032"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.04.052"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1045"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2022.3161016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00919"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/324"},{"key":"ref17","first-page":"2350","article-title":"Federated learning with compression: Unified analysis and sharp guarantees","volume-title":"Proc. Int. Conf Artif. Intell. Stat. (AISTATS)","author":"Haddadpour","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500936"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2021.102378"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3120998"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2022.3172114"},{"key":"ref22","article-title":"Differentially private data generative models","author":"Chen","year":"2018","journal-title":"arXiv preprint"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296650"}],"event":{"name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","start":{"date-parts":[[2022,12,4]]},"location":"Rio de Janeiro, Brazil","end":{"date-parts":[[2022,12,8]]}},"container-title":["GLOBECOM 2022 - 2022 IEEE Global Communications Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10000063\/10000593\/10001075.pdf?arnumber=10001075","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T03:10:08Z","timestamp":1707448208000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10001075\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,4]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/globecom48099.2022.10001075","relation":{},"subject":[],"published":{"date-parts":[[2022,12,4]]}}}